
% Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
% Date and time: Tue, Jul 04, 2023 - 21:16:36
\begin{table}[!htbp] \centering 
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\begin{tabular}{@{\extracolsep{5pt}}lcccc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{4}{c}{\textit{Dependent variable:}} \\ 
\cline{2-5} 
\\[-1.8ex] & \multicolumn{4}{c}{Daily Tweet Volume} \\ 
 & CGTN & Xinhua & People's Daily & China Daily \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4)\\ 
\hline \\[-1.8ex] 
 Baseline Trend & 0.01$^{***}$ & 0.06$^{***}$ & 0.01$^{***}$ & 0.01$^{***}$ \\ 
  & (0.001) & (0.002) & (0.001) & (0.002) \\ 
  & & & & \\ 
 Level Change & 57.00$^{***}$ & $-$22.26$^{***}$ & $-$14.39$^{***}$ & 30.37$^{***}$ \\ 
  & (1.51) & (3.87) & (1.75) & (2.55) \\ 
  & & & & \\ 
 Trend Change & $-$0.01$^{***}$ & $-$0.09$^{***}$ & $-$0.01$^{***}$ & 0.01$^{**}$ \\ 
  & (0.002) & (0.01) & (0.003) & (0.004) \\ 
  & & & & \\ 
 Baseline Volume of Daily Tweets & 27.90$^{***}$ & 107.63$^{***}$ & 44.35$^{***}$ & 30.64$^{***}$ \\ 
  & (0.90) & (2.29) & (1.03) & (1.50) \\ 
  & & & & \\ 
\hline \\[-1.8ex] 
Observations & 2,340 & 2,418 & 2,306 & 2,429 \\ 
Log Likelihood & $-$8,265.33 & $-$9,733.60 & $-$8,597.66 & $-$9,355.45 \\ 
Akaike Inf. Crit. & 16,542.65 & 19,479.19 & 17,207.32 & 18,722.91 \\ 
Bayesian Inf. Crit. & 16,577.19 & 19,513.93 & 17,241.77 & 18,757.67 \\ 
\hline 
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\textit{Note:}  & \multicolumn{4}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table} 
